Comparison of two machine learning frameworks for predicting aggregatory behaviour of sharks
Author:
Affiliation:
1. Data Science Institute Vanderbilt University Nashville Tennessee USA
2. Texas Parks and Wildlife Department Coastal Fisheries Division, Rockport Marine Science Laboratory Rockport Texas USA
3. Saving the Blue Cooper City Florida USA
Publisher
Wiley
Subject
Ecology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2664.14273
Reference98 articles.
1. Adler A. I. &Painsky A.(2021).Feature importance in gradient boosting trees with cross‐validation feature selection.arXiv preprint arXiv 2109.05468.https://arxiv.org/abs/2109.05468
2. Seasonal aggregations of blacktip sharks Carcharhinus limbatus at a marine protected area in the Gulf of California, assessed by unoccupied aerial vehicle surveys
3. Predictive Models for Imbalanced Data: A School Dropout Perspective
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